Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
Lessons
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What is machine learning?
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Introduction to machine learning algorithms
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Introduction to machine learning languages
Lab : Introduction to machine Learning
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Sign up for Azure machine learning studio account
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View a simple experiment from gallery
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Evaluate an experiment
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
Lessons
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Azure machine learning overview
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Introduction to Azure machine learning studio
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Developing and hosting Azure machine learning applications
Lab : Introduction to Azure machine learning
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Explore the Azure machine learning studio workspace
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Clone and run a simple experiment
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Clone an experiment, make some simple changes, and run the experiment
Module 3: Managing Datasets
At the end of this module the student will be able to upload and explore various types of data in Azure machine learning.
Lessons
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Categorizing your data
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Importing data to Azure machine learning
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Exploring and transforming data in Azure machine learning
Lab : Managing Datasets
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Prepare Azure SQL database
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Import data
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Visualize data
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Summarize data
Module 4: Preparing Data for use with Azure Machine Learning
This module provides techniques to prepare datasets for use with Azure machine learning.
Lessons
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Data pre-processing
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Handling incomplete datasets
Lab : Preparing data for use with Azure machine learning
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Explore some data using Power BI
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Clean the data
Module 5: Using Feature Engineering and Selection
This module describes how to explore and use feature engineering and selection techniques on datasets that are to be used with Azure machine learning.
Lessons
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Using feature engineering
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Using feature selection
Lab : Using feature engineering and selection
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Prepare datasets
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Use Join to Merge data
Module 6: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
Lessons
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Azure machine learning workflows
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Scoring and evaluating models
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Using regression algorithms
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Using neural networks
Lab : Building Azure machine learning models
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Using Azure machine learning studio modules for regression
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Create and run a neural-network based application
Module 7: Using Classification and Clustering with Azure machine learning models
This module describes how to use classification and clustering algorithms with Azure machine learning.
Lessons
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Using classification algorithms
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Clustering techniques
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Selecting algorithms
Lab : Using classification and clustering with Azure machine learning models
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Using Azure machine learning studio modules for classification.
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Add k-means section to an experiment
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Add PCA for anomaly detection.
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Evaluate the models
Module 8: Using R and Python with Azure Machine Learning
This module describes how to use R and Python with azure machine learning and choose when to use a particular language.
Lessons
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Using R
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Using Python
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Incorporating R and Python into Machine Learning experiments
Lab : Using R and Python with Azure machine learning
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Exploring data using R
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Analyzing data using Python
Module 9: Initializing and Optimizing Machine Learning Models
This module describes how to use hyper-parameters and multiple algorithms and models, and be able to score and evaluate models.
Lessons
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Using hyper-parameters
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Using multiple algorithms and models
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Scoring and evaluating Models
Lab : Initializing and optimizing machine learning models
Module 10: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
Lessons
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Deploying and publishing models
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Consuming Experiments
Lab : Using Azure machine learning models
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Deploy machine learning models
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Consume a published model
Module 11: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
Lessons
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Cognitive services overview
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Processing language
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Processing images and video
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Recommending products
Lab : Using Cognitive Services
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Build a language application
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Build a face detection application
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Build a recommendation application
Module 12: Using Machine Learning with HDInsight
This module describes how use HDInsight with Azure machine learning.
Lessons
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Introduction to HDInsight
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HDInsight cluster types
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HDInsight and machine learning models
Lab : Machine Learning with HDInsight
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Provision an HDInsight cluster
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Use the HDInsight cluster with MapReduce and Spark
Module 13: Using R Services with Machine Learning
This module describes how to use R and R server with Azure machine learning, and explain how to deploy and configure SQL Server and support R services.
Lessons
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R and R server overview
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Using R server with machine learning
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Using R with SQL Server
Lab : Using R services with machine learning
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Deploy DSVM
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Prepare a sample SQL Server database and configure SQL Server and R
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Use a remote R session
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Execute R scripts inside T-SQL statements
